Please get all the materials and pdfs in the below link which is for free.
https://github.com/krishnaik06/The-Grand-Complete-Data-Science-Materials/tree/main
Visit https://www.krishnaik.in/liveclasses for more live classes from me and my team
Time Stamp:
0:00:00 Introduction
0:03:50 AI vs ML vs DL vs Data Science
0:14:29 Why Deep Learning Is Becoming Popular?
0:22:17 Introduction To Perceptron
0:30:27 Working Of Perceptron With Weights And Bias
1:00:21 Forward Propogation,Backward Propogation And Weight Updateion Formula
1:18:56 Chain Rule Of Derivatives
1:33:43 Vanishing Gradient Problem
1:44:58 Different types Of Activation Functions
2:04:19 Different types Of Loss functions
2:34:39 Different type Of Optimizers
3:31:24 Practical Implementation OF ANN
4:30:48 Black Box Models VsWhite Box Models
4:36:43 Convolutional Neural Network
5:30:50 Practical Implementation Of CNN
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